Evidence map›Paper›PMID 33292529›Full record

ArticleClinical and translational allergy2020

Anomalous asthma and chronic obstructive pulmonary disease Google Trends patterns during the COVID-19 pandemic.

Bernardo Sousa-Pinto, Enrico Heffler, Aram Antó, Wienczyslawa Czarlewski, Anna Bedbrook, Bilun Gemicioglu, G Walter Canonica, Josep M Antó, João Almeida Fonseca, Jean Bousquet

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In one paragraph

Article in Clinical and translational allergy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Bernardo Sousa-PintoMEDCIDS-Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal. bernardo@med.up.pt.ORCID http://orcid.org/0000-0002-1277-3401
Enrico HefflerPersonalized Medicine, Asthma & Allergy, Humanitas Clinical and Research Center, IRCCS, Rozzano, Italy.
Aram AntóMASK-Air, Montpellier, France.
Wienczyslawa CzarlewskiMASK-Air, Montpellier, France.
Anna BedbrookMASK-Air, Montpellier, France.
Bilun GemiciogluDepartment of Pulmonary Diseases, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.
G Walter CanonicaPersonalized Medicine, Asthma & Allergy, Humanitas Clinical and Research Center, IRCCS, Rozzano, Italy.
Josep M AntóISGlobAL, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
João Almeida FonsecaMEDCIDS-Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.
Jean BousquetMACVIA-France, Montpellier, France.

Funding

DigitalHealthEurope Grant Agreement 826353
6 · The paper itself

Abstract

backgroundAn increase in online searches on health topics may either mirror epidemiological changes or reflect media coverage. In the context of COVID-19, this is particularly relevant, as COVID-19 symptoms may be mistaken for those of respiratory disease exacerbations. Therefore, we aimed to assess Internet search patterns on asthma and chronic obstructive pulmonary disease (COPD) in the context of COVID-19, as compared to searches on other chronic diseases.

methodsWe retrieved Google Trends (GTs) data on two respiratory (asthma and COPD) and three non-respiratory (diabetes, hypertension, and Crohn's disease) chronic diseases over the past 5 years (up to May 31, 2020). For 54 countries, and for each disease, we built autoregressive integrated moving average (ARIMA) models to predict GTs for 2020 based on 2015-2019 search patterns. In addition, we estimated the proportion of searches in which COVID-19-related terms were used. To assess the potential impact of media coverage on online searches, we assessed whether weekly "asthma" GTs correlated with the number of Google News items on asthma.

resultsOver the past 5 years, worldwide search volumes for asthma and COPD reached their maximum values in March 2020. Such was not observed for diabetes, hypertension and Crohn's disease. In 38 (70%) countries, GTs on asthma were higher in March 2020 than the respective maximum predicted values. This compares to 19 countries for COPD, 23 for hypertension, 11 for Crohn's disease, and 9 for diabetes. Queries with COVID-19-related terms represented up to 47.8% of the monthly searches on asthma, and up to 21.3% of COPD searches. In most of the assessed countries, moderate-strong correlations were observed between "asthma" GTs and the number of news items on asthma.

conclusionsDuring March 2020, there was a peak in searches on asthma and COPD, which was probably mostly driven by media coverage, as suggested by their simultaneity in several countries with different epidemiological situations.

Indexed as

AsthmaChronic diseasesChronic obstructive pulmonary diseaseCOVID-19Google trends

Identifiers

PMID33292529
PMCPMC7604916

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.